Author
Jitendra Yadav
Recent posts
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AI EngineeringDemystifying the EU AI Act for AI product and engineering teams
An engineering guide to turning EU AI Act principles into traces, evaluations, annotations, and release evidence product and engineering teams can actually demonstrate. Jitendra Yadav August 10, 2026 10 min read -
AI EvaluationHow to measure AI productivity: From LLM token costs to business value with Arize AX
AI productivity is best measured by connecting AI usage to validated downstream outcomes. Tokens, prompts, and generated lines show activity, but they do not prove value. A better… Duncan McKinnon Jitendra Yadav July 14, 2026 9 min read -
Agent EvaluationFrom production traces to better AI agents: Automating the LLMOps feedback loop
Production AI traces are the raw material for better evals, prompts, datasets, and fine-tuned models. This post shows how the Arize AX Airflow Provider turns that feedback loop… Jitendra Yadav Hakan Tekgul May 27, 2026 17 min read
Don’t ship vibes.
Arize gives AI teams observability and evals to understand and improve agent performance.
